How to Use the Freshworks MCP in CrewAI
Deploy autonomous support and sales teams using the Freshworks CrewAI integration.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Freshworks MCP to CrewAI
Create your Vinkius account to connect Freshworks to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Assign helpdesk tools to specific MCP agents
Give your tier-one support agent immediate access to the queue using `list_tickets` and `get_ticket`. You can configure a CrewAI monitor agent to poll the helpdesk continuously. When a new issue pops up, it hands the context to a response agent. Combine this with `list_agents` and `list_groups` to build a dispatch system. The AI evaluates the ticket content and autonomously decides which human team needs to take over if the issue requires escalation.
Cross-reference CRM data autonomously
A dedicated MCP agent can map out a customer's entire history with `list_crm_contacts` and `list_helpdesk_contacts`. While one agent handles the chat, the researcher pulls previous interactions and feeds them into the shared memory. This eliminates blind spots. The response agent knows exactly who they are talking to because the background crew already mapped the contact IDs across both systems.
Monitor pipeline health with specialized crews
Build a sales operations crew powered by `list_deals` and `list_accounts`. A financial agent can scan open deals daily through the MCP Server, while a secondary agent checks `list_companies` to verify account details. They operate sequentially. The data gatherer pulls the raw numbers from the server, and the analyst agent writes a daily summary report for your Slack channel. No human intervention required.
Set up Freshworks MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Freshworks tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Freshworks Analyst",
goal="Access and analyze Freshworks data via MCP.",
backstory="Expert analyst with direct Freshworks access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Freshworks transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Freshworks Analyst",
goal="Access and analyze Freshworks data via MCP.",
backstory="Expert analyst with direct Freshworks access.",
tools=mcp_tools,
)
task = Task(
description="List recent Freshworks transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Freshworks. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Freshworks MCP in CrewAI
Use it with your favorite AI tools
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